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  <front>
    <journal-meta><journal-id journal-id-type="nlm-ta">PLoS ONE</journal-id><journal-id journal-id-type="publisher-id">plos</journal-id><journal-id journal-id-type="pmc">plosone</journal-id><issn pub-type="epub">1932-6203</issn><publisher>
        <publisher-name>Public Library of Science</publisher-name>
        <publisher-loc>San Francisco, USA</publisher-loc>
      </publisher></journal-meta>
    <article-meta><article-id pub-id-type="publisher-id">PONE-D-12-13993</article-id><article-id pub-id-type="doi">10.1371/journal.pone.0042643</article-id><article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group subj-group-type="Discipline-v2">
          <subject>Biology</subject>
          <subj-group>
            <subject>Ecology</subject>
            <subj-group>
              <subject>Ecological environments</subject>
              <subj-group>
                <subject>Terrestrial environments</subject>
              </subj-group>
            </subj-group>
            <subj-group>
              <subject>Community ecology</subject>
              <subject>Plant ecology</subject>
              <subject>Restoration ecology</subject>
              <subject>Spatial and landscape ecology</subject>
              <subject>Terrestrial ecology</subject>
            </subj-group>
          </subj-group>
          <subj-group>
            <subject>Plant science</subject>
            <subj-group>
              <subject>Plants</subject>
              <subj-group>
                <subject>Trees</subject>
              </subj-group>
            </subj-group>
            <subj-group>
              <subject>Plant ecology</subject>
            </subj-group>
          </subj-group>
        </subj-group>
        <subj-group subj-group-type="Discipline">
          <subject>Plant Biology</subject>
        </subj-group>
      </article-categories><title-group><article-title>The Genus <italic>Cecropia</italic>: A Biological Clock to Estimate the Age of Recently Disturbed Areas in the Neotropics</article-title><alt-title alt-title-type="running-head"><italic>Cecropia</italic> as a Biological Clock</alt-title></title-group><contrib-group>
        <contrib contrib-type="author" xlink:type="simple">
          <name name-style="western">
            <surname>Zalamea</surname>
            <given-names>Paul-Camilo</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
          <xref ref-type="corresp" rid="cor1">
            <sup>*</sup>
          </xref>
          <xref ref-type="fn" rid="fn1">
            <sup>¤</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author" xlink:type="simple">
          <name name-style="western">
            <surname>Heuret</surname>
            <given-names>Patrick</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>3</sup>
          </xref>
          <xref ref-type="aff" rid="aff7">
            <sup>7</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author" xlink:type="simple">
          <name name-style="western">
            <surname>Sarmiento</surname>
            <given-names>Carolina</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
          <xref ref-type="aff" rid="aff5">
            <sup>5</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author" xlink:type="simple">
          <name name-style="western">
            <surname>Rodríguez</surname>
            <given-names>Manuel</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author" xlink:type="simple">
          <name name-style="western">
            <surname>Berthouly</surname>
            <given-names>Anne</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>3</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author" xlink:type="simple">
          <name name-style="western">
            <surname>Guitet</surname>
            <given-names>Stéphane</given-names>
          </name>
          <xref ref-type="aff" rid="aff6">
            <sup>6</sup>
          </xref>
          <xref ref-type="aff" rid="aff7">
            <sup>7</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author" xlink:type="simple">
          <name name-style="western">
            <surname>Nicolini</surname>
            <given-names>Eric</given-names>
          </name>
          <xref ref-type="aff" rid="aff5">
            <sup>5</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author" xlink:type="simple">
          <name name-style="western">
            <surname>Delnatte</surname>
            <given-names>César</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">
            <sup>4</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author" xlink:type="simple">
          <name name-style="western">
            <surname>Barthélémy</surname>
            <given-names>Daniel</given-names>
          </name>
          <xref ref-type="aff" rid="aff7">
            <sup>7</sup>
          </xref>
          <xref ref-type="aff" rid="aff8">
            <sup>8</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author" xlink:type="simple">
          <name name-style="western">
            <surname>Stevenson</surname>
            <given-names>Pablo R.</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
      </contrib-group><aff id="aff1">
        <label>1</label>
        <addr-line>IRD, UMR AMAP (Botanique et bioinformatique de l'architecture des plantes), Montpellier, France</addr-line>
      </aff><aff id="aff2">
        <label>2</label>
        <addr-line>Departamento de Ciencias Biológicas, Universidad de Los Andes, Bogotá, Colombia</addr-line>
      </aff><aff id="aff3">
        <label>3</label>
        <addr-line>INRA, UMR ECOFOG (Écologie des Forêts de Guyane), Kourou, French Guiana</addr-line>
      </aff><aff id="aff4">
        <label>4</label>
        <addr-line>Museum d'Histoire Naturelle d'Aix-en-Provence, Aix-en-Provence, France</addr-line>
      </aff><aff id="aff5">
        <label>5</label>
        <addr-line>CIRAD, UMR AMAP (Botanique et bioinformatique de l'architecture des plantes), Montpellier, France</addr-line>
      </aff><aff id="aff6">
        <label>6</label>
        <addr-line>Office National des Forêts, DTRD, Cayenne, French Guiana</addr-line>
      </aff><aff id="aff7">
        <label>7</label>
        <addr-line>INRA, UMR AMAP (Botanique et bioinformatique de l'architecture des plantes), Montpellier, France</addr-line>
      </aff><aff id="aff8">
        <label>8</label>
        <addr-line>CIRAD, BIOS Direction, Montpellier, France</addr-line>
      </aff><contrib-group>
        <contrib contrib-type="editor" xlink:type="simple">
          <name name-style="western">
            <surname>Bond-Lamberty</surname>
            <given-names>Ben</given-names>
          </name>
          <role>Editor</role>
          <xref ref-type="aff" rid="edit1"/>
        </contrib>
      </contrib-group><aff id="edit1">
        <addr-line>DOE Pacific Northwest National Laboratory, United States of America</addr-line>
      </aff><author-notes>
        <corresp id="cor1">* E-mail: <email xlink:type="simple">camilozalamea@gmail.com</email></corresp>
        <fn fn-type="conflict">
          <p>The authors have declared that no competing interests exist.</p>
        </fn>
        <fn fn-type="con">
          <p>Conceived and designed the experiments: PCZ PH PRS DB. Performed the experiments: PCZ MR CS SG CD EN. Analyzed the data: PCZ AB. Contributed reagents/materials/analysis tools: PCZ PH PRS SG. Wrote the paper: PCZ. Intellectual support and editorial input: PH CS PRS.</p>
        </fn>
        <fn fn-type="current-aff" id="fn1">
          <label>¤</label>
          <p>Current address: Smithsonian Tropical Research Institute, Ancón, Republic of Panama</p>
        </fn>
      </author-notes><pub-date pub-type="collection">
        <year>2012</year>
      </pub-date><pub-date pub-type="epub">
        <day>10</day>
        <month>8</month>
        <year>2012</year>
      </pub-date><volume>7</volume><issue>8</issue><elocation-id>e42643</elocation-id><history>
        <date date-type="received">
          <day>15</day>
          <month>5</month>
          <year>2012</year>
        </date>
        <date date-type="accepted">
          <day>11</day>
          <month>7</month>
          <year>2012</year>
        </date>
      </history><permissions>
        
        <copyright-holder>Zalamea et al</copyright-holder>
        <license xlink:type="simple">
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions><abstract>
        <p>Forest successional processes following disturbance take decades to play out, even in tropical forests. Nonetheless, records of vegetation change in this ecosystem are scarce, increasing the importance of the chronosequence approach to study forest recovery. However, this approach requires accurate dating of secondary forests, which until now was a difficult and/or expensive task. <italic>Cecropia</italic> is a widespread and abundant pioneer tree genus of the Neotropics. Here we propose and validate a rapid and straightforward method to estimate the age of secondary forest patches based on morphological observations of <italic>Cecropia</italic> trees. We found that <italic>Cecropia</italic>-inferred ages were highly correlated with known ages of the forest. We also demonstrate that <italic>Cecropia</italic> can be used to accurately date disturbances and propose twenty-one species distributed all over the geographical range of the genus as potential secondary forest chronometer species. Our method is limited in applicability by the maximal longevity of <italic>Cecropia</italic> individuals. Although the oldest chronosequence used in this study was 20 years old, we argue that at least for the first four decades after disturbance, the method described in this study provides very accurate estimations of secondary forest ages. The age of pioneer trees provides not only information needed to calculate the recovery of carbon stocks that would help to improve forest management, but also provides information needed to characterize the initial floristic composition and the rates of species remigration into secondary forest. Our contribution shows how successional studies can be reliably and inexpensively extended without the need to obtain forest ages based on expensive or potentially inaccurate data across the Neotropics.</p>
      </abstract><funding-group>
        <funding-statement>This research was supported by an Ecos-Nord-Colciencias and Paris 13 University grant (C08A01), and the Institut de Recherche pour le Développement (France) doctoral grant to PCZ. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</funding-statement>
      </funding-group><counts>
        <page-count count="7"/>
      </counts></article-meta>
  </front>
  <body>
    <sec id="s1">
      <title>Introduction</title>
      <p>Neotropical forests are the greatest terrestrial reservoirs of biodiversity and carbon <xref ref-type="bibr" rid="pone.0042643-Malhi1">[1]</xref>. Despite prolonged attention of researchers to habitat degradation, forest fragmentation and deforestation <xref ref-type="bibr" rid="pone.0042643-Bawa1">[2]</xref>, currently tropical forests are the most threatened ecosystems worldwide <xref ref-type="bibr" rid="pone.0042643-Laurance1">[3]</xref>. High rates of deforestation and selective logging in turn have resulted in a large increase in secondary forest areas <xref ref-type="bibr" rid="pone.0042643-Wright1">[4]</xref>. The resilience of secondary forests is poorly understood, although Norden <italic>et al.</italic> <xref ref-type="bibr" rid="pone.0042643-Norden1">[5]</xref> showed that secondary forests could serve as habitat refugia and biodiversity reservoirs of tree species from mature tropical forests.</p>
      <p>A common problem with studies of secondary forest ecology and succession, however, has been uncertainty over stand age. Tropical secondary forest succession is a process that takes several decades, and to our knowledge, no continuous data on vegetation change are available for secondary forests over periods longer than 30 years. Consequently, the chronosequence approach, where disturbance ages of secondary forests are known, has been frequently used to study secondary forest dynamics <xref ref-type="bibr" rid="pone.0042643-Chazdon1">[6]</xref>. Nevertheless, due to the difficulty of assessing the ages of secondary forest areas <xref ref-type="bibr" rid="pone.0042643-Brienen1">[7]</xref>, there is a clear need for accurate and repeatable methodologies that allow us to date the age of disturbances over decadal time scales. More recently, attention has also been given to the need to monitoring and quantification of carbon sequestration processes to implement mechanisms for Reducing Emissions from Deforestation and Forest Degradation (REDD). However, one of the critical limitations in doing so is accurately estimating forests ages <xref ref-type="bibr" rid="pone.0042643-SanchezAzofeifa1">[8]</xref>.</p>
      <p>Currently, the most frequently used methods to date secondary forest are interviews of local people, use of remote-sensing techniques, probabilistic approaches based on tree growth rates, <sup>14</sup>C dating, and tree ring analysis <xref ref-type="bibr" rid="pone.0042643-Brienen1">[7]</xref>, <xref ref-type="bibr" rid="pone.0042643-MartnezRamos1">[9]</xref>–<xref ref-type="bibr" rid="pone.0042643-Neeff1">[10]</xref>. All of these methods have limitations <xref ref-type="bibr" rid="pone.0042643-MartnezRamos1">[9]</xref>. For example, information from local people is not always available, and its accuracy is highly variable <xref ref-type="bibr" rid="pone.0042643-Brienen1">[7]</xref>. Remote sensing or <sup>14</sup>C dating are inaccurate and/or expensive techniques that may only work when suitable material is available.</p>
      <p>Here, we demonstrate that <italic>Cecropia</italic>, a widespread and abundant pioneer genus in the Neotropics, is an accurate chronometer for dating different types of disturbance. We base this demonstration on a causal chain of previous observations, i.e. the <italic>Cecropia</italic> developmental periodicity allows predicting the age of individuals of this genus <xref ref-type="bibr" rid="pone.0042643-Heuret1">[11]</xref>–<xref ref-type="bibr" rid="pone.0042643-Zalamea1">[12]</xref>. In secondary forests, the age of individuals of pioneer tree species reflects age of the forest and thereby age of the disturbance, since these species are incapable of germination following canopy closure <xref ref-type="bibr" rid="pone.0042643-Brienen1">[7]</xref>. In this study, we tested whether our estimation of <italic>Cecropia</italic> age based on two species and three different types of disturbance was reliable to the age of disturbance by studying the relationship between the estimated age of <italic>Cecropia</italic> and the real age of the disturbance. In addition, we propose twenty-one <italic>Cecropia</italic> species distributed all over the geographical range of the genus as potential chronometer species.</p>
    </sec>
    <sec id="s2" sec-type="materials|methods">
      <title>Materials and Methods</title>
      <sec id="s2a">
        <title>Ethics statement</title>
        <p>Procedures and permits for measuring living <italic>Cecropia</italic> trees for the slash-and-burn agricultural sites in Colombia and French Guiana were approved and obtained from private local owners on each locality. Procedures and permits for measuring and handling living <italic>Cecropia</italic> trees on the gold mining sites and the forestry road were approved and obtained from the French Guiana ONF (<italic>Office National des Forêts</italic>), which is in charge of building the logging road-network and controlling the environment on the mining sites.</p>
      </sec>
      <sec id="s2b">
        <title>Study species</title>
        <p>In this study, we focused on two <italic>Cecropia</italic> species characterized by different geographic distributions. <italic>C. sciadophylla</italic> is a widespread species distributed throughout the Amazon basin, the Llanos region of Colombia and Venezuela, and the Guiana shield, while <italic>C. obtusa</italic> has a limited distribution on the Guiana shield and lower Amazon basin <xref ref-type="bibr" rid="pone.0042643-Berg1">[13]</xref>.</p>
      </sec>
      <sec id="s2c">
        <title>Study area</title>
        <p>We gathered data for three different types of disturbance: i) slash and burn agriculture, ii) a forestry road, and iii) gold mining sites. For the slash-and-burn agricultural sites, stand ages were obtained through interviews with local people, while for the forestry road and the mining sites, ages were obtained via the French Guiana ONF databases, ensuring the accuracy of the disturbance age. For the slash-and-burn chronosequences, data were gathered in three different sites, two in Colombia and one in French Guiana. i) The first Colombian chronosequence was located ∼11 km from Leticia, in an agricultural matrix composed of mature forest, secondary forest, and native crop stands (<italic>Huitoto</italic> native community), located in the department of Amazonas (4°6′S, 69°57′W). The Leticia chronosequence was composed of 8 age classes between 2 and 18 yrs. old. ii) The second Colombian chronosequence was located at the municipality of La Primavera, a natural savanna located in the department of Vichada (5°24′N, 69°53′W); the landscape matrix was composed by savanna vegetation and gallery forest, where some years ago traditional slash-and-burn agricultural practices were developed. The stands established at La Primavera were composed of 5 age classes between 5 and 20 yrs. old. iii) The French Guiana chronosequence was located at Sparwine town in an agricultural matrix composed of mature forest, secondary forest, and native crop stands (near the border between French Guiana and Suriname, 5°16′N, 54°14′W). The Sparwine chronosequence was composed of 9 age classes between 1 and 14 yrs. old.</p>
        <p>Data on the forestry road and mining disturbances were also gathered in French Guiana. The Counamama 60 km-long forestry road is located between the municipalities of Sinnamary and Iracoubo (5°18′N, 53°13′W). This road was constructed as an access way for a logging concession. Its construction started in 1989 and finished in 2006; during the construction process, different sections were opened successively generating a chronosequence composed of nine age classes that varied between 1 and 17 yrs. old. The Coralie gold mining sites were located between the municipalities of Roura and Regina in French Guiana (4°29′N, 52°27′W). Six sites corresponding to 6 different age classes that varied between two and eight years old were chosen. In order to avoid any bias generated by the prior knowledge of stand ages, the real stand ages were always obtained after the estimation of <italic>Cecropia</italic> age.</p>
      </sec>
      <sec id="s2d">
        <title>Plant material and measurements</title>
        <p>In the French Guianan localities a total of 122 individuals of <italic>C. sciadophylla</italic> and 287 individuals of <italic>C. obtusa</italic> were measured, while in the Colombian localities a total of 80 individuals of <italic>C. sciadophylla</italic> were measured. Only straight trees without any evident trauma were selected. Although <italic>C. sciadophylla</italic> and <italic>C. obtusa</italic> are the most abundant <italic>Cecropia</italic> species in French Guiana, the proportion of the two species is not the same in all sites. The abundance of <italic>C. sciadophylla</italic> individuals relative to <italic>C. obtusa</italic> individuals is lower in mining and slash-and-burn agricultural sites.</p>
        <p>Previous studies of two species, <italic>C. obtusa</italic> and <italic>C. sciadophylla</italic>, showed a high annual periodicity in reproductive and branching processes, as well as an annual alternation of long and short nodes <xref ref-type="bibr" rid="pone.0042643-Heuret1">[11]</xref>–<xref ref-type="bibr" rid="pone.0042643-Zalamea1">[12]</xref>. Throughout plant ontogeny and over a wide geographic gradient, our previous results show that the production of ∼35 and ∼23 nodes per year is a remarkably stable trait for <italic>C. obtusa</italic> and <italic>C. sciadophylla</italic>, respectively. These results have shown that the ages of individual trees can be estimated through observations of external morphology. This occurs because the scars of fallen leaves, inflorescences and branches remain visible along the trunk in <italic>Cecropia</italic> species (<xref ref-type="fig" rid="pone-0042643-g001">Fig. 1</xref>) <xref ref-type="bibr" rid="pone.0042643-Heuret1">[11]</xref>–<xref ref-type="bibr" rid="pone.0042643-Zalamea1">[12]</xref>. In this study we will use our previous results as a background to test the hypothesis that <italic>Cecropia</italic> could be used as a biological clock to estimate the age of recently disturbed areas.</p>
        <fig id="pone-0042643-g001" orientation="portrait" position="float">
          <object-id pub-id-type="doi">10.1371/journal.pone.0042643.g001</object-id>
          <label>Figure 1</label>
          <caption>
            <title>Tree silhouette showing a 14.7-years-old individual of <italic>C. sciadophylla</italic>.</title>
            <p><italic>Cecropia</italic> age estimation protocol consists in dividing the total number of nodes on the main axis by 23 for <italic>C. sciadophylla</italic> or 35 for <italic>C. obtusa</italic>. In the pictures (a), (b), and (c) leaf and stipule scars are shown at different heights in the tree. (d) Relationship between the number of nodes on the borne axes (An) and that of their bearing axis (An-1) above their point of insertion, for the same individual. The comparison of A2 in relation to A1 is represented by circles, A3 in relation to A2 by squares, A4 in relation to A3 by triangles and A5 in relation to A4 by “x” symbols. The dotted line in the panel (d) represents the 1∶1 line. The human silhouette represents a 1.8 m height scale.</p>
          </caption>
          <graphic mimetype="image" orientation="portrait" position="float" xlink:href="info:doi/10.1371/journal.pone.0042643.g001" xlink:type="simple"/>
        </fig>
        <p>The protocol that we propose for estimating the age of <italic>Cecropia</italic> individuals is thus based on morphological description of the main axis from the base to the apex (<xref ref-type="fig" rid="pone-0042643-g001">Fig. 1</xref>). The protocol consists in dividing the total number of nodes on the main axis by 23 for <italic>C. sciadophylla</italic> or 35 for <italic>C. obtusa</italic> (<xref ref-type="fig" rid="pone-0042643-g001">Fig. 1</xref>). When trees are higher than 2–3 m the use of binoculars is necessary to count the number of nodes. In order to determine the accuracy of the counting of nodes using binoculars, the total number of nodes was counted in 91 individuals (56 <italic>C. obtusa</italic> and 35 <italic>C. sciadophylla</italic>) at the Counamama forestry road using binoculars, and then those individuals were felled and the total number of nodes was manually re-counted. Regardless of the <italic>Cecropia</italic> species, we found that the total number of nodes counted using binoculars was highly correlated with the actual total number of nodes (regression slope = 0.962, intercept = 0.172, R<sup>2</sup> = 0.983, P&lt;0.001). In addition, we observed that for <italic>C. obtusa</italic> and <italic>C. sciadophylla</italic> individuals, the number of nodes per axis was positively correlated with the number of nodes of the bearing axis above its insertion point, suggesting that the emission of new nodes occurs at the same rate in all axes of a given individual (<xref ref-type="bibr" rid="pone.0042643-Heuret1">[11]</xref>, <xref ref-type="bibr" rid="pone.0042643-Zalamea2">[14]</xref>; see <xref ref-type="fig" rid="pone-0042643-g001">Fig. 1d</xref>). Thus, for dating purposes, if the main axis is dead or broken, it is possible to estimate the age by following the main axis and then counting nodes on a vigorous branch.</p>
      </sec>
      <sec id="s2e">
        <title>Generality</title>
        <p>Given that annual flowering is one of the traits used to estimate the age of <italic>C. obtusa</italic> and <italic>C. sciadophylla</italic> individuals <xref ref-type="bibr" rid="pone.0042643-Heuret1">[11]</xref>–<xref ref-type="bibr" rid="pone.0042643-Zalamea1">[12]</xref>, it is crucial to determine whether our chronometric approach is likely to be broadly applicable across <italic>Cecropia</italic> species. Zalamea <italic>et al.</italic> <xref ref-type="bibr" rid="pone.0042643-Zalamea3">[15]</xref> used a herbarium dataset to characterize the reproductive phenology of 35 <italic>Cecropia</italic> species, and found that 21 of them are characterized by an annual flowering. Here we used this information, to generate the geographic distribution map of species presence. To do that, we divided the area comprised from 24°N to 31°S and from 104°W to 34°W into hexagons of 4° side, and then, based on 2244 herbarium vouchers, we mapped the presence of annually flowering species by hexagons using ArcMap <xref ref-type="bibr" rid="pone.0042643-ESRI1">[16]</xref>.</p>
      </sec>
      <sec id="s2f">
        <title>Data analysis</title>
        <p>The relationship between the estimated age of <italic>Cecropia</italic> and the real age of disturbances was assessed using linear-mixed effect models, including the locality of each tree as a random factor. We also included the following covariates as fixed effects: species, disturbance type, interaction between the real age of the disturbance and <italic>Cecropia</italic> species, and interaction between the real age of the disturbance and disturbance type. To determine a confidence interval for the correlation coefficient between the estimated <italic>Cecropia</italic> age and the real age of the disturbance, we performed a Pearson correlation analysis between paired samples, and used a bootstrap procedure with 10000 replicates. <italic>Cecropia</italic> estimated age and real age of the disturbance were both square-root transformed to meet normality and homoscedasticity assumptions. We used restricted maximum likelihood estimation in the mixed-effect model, and two-tailed tests with a significance level set to α = 0.05. All analyses were made in R software <xref ref-type="bibr" rid="pone.0042643-R1">[version 2.13.1; 17]</xref> using the nlme <xref ref-type="bibr" rid="pone.0042643-Pinheiro1">[version 3.1; 18]</xref> package.</p>
      </sec>
    </sec>
    <sec id="s3">
      <title>Results</title>
      <p>We found that <italic>Cecropia</italic> estimated age was highly correlated with the disturbance real age (F<sub>1,31</sub> = 701.8; P&lt;0.001; Pearson's correlation: r<sup>2</sup> = 0.97, P&lt;0.001; <xref ref-type="fig" rid="pone-0042643-g002">Fig. 2a</xref>), the slope is not different from 1 (slope = 1.04), and the intercept is different from zero (intercept = −0.26). This relationship was neither different between the two <italic>Cecropia</italic> species nor among the disturbance types (interaction P values≥0.152). Although <italic>Cecropia</italic> estimated age and real age of the disturbance were both square-root transformed to meet normality and homoscedasticity assumptions, we also present untransformed data in <xref ref-type="fig" rid="pone-0042643-g002">figure 2b</xref>. To determine a confidence interval for the correlation coefficient between estimated <italic>Cecropia</italic> age and disturbance real age we performed a non-parametric bootstrap. The size of the confidence interval was very small (95% CI: 0.965–0.976), indicating that the uncertainty in our correlation coefficient is small.</p>
      <fig id="pone-0042643-g002" orientation="portrait" position="float">
        <object-id pub-id-type="doi">10.1371/journal.pone.0042643.g002</object-id>
        <label>Figure 2</label>
        <caption>
          <title>Relationship between the estimated age of <italic>Cecropia</italic> trees obtained using the age estimation protocol (see <xref ref-type="fig" rid="pone-0042643-g001"><bold>Fig. 1</bold></xref>) and real age of disturbances determined using multiple datasets from local interviews and ONF information.</title>
          <p>(a) Both ages were square-root-transformed to meet normality and homoscedasticity assumptions. The dotted line represents the equation adjusted by the linear mixed-effect model. For ease of interpretation by the reader we also present the untransformed data in the panel (b). Black diamonds represent <italic>C. sciadophylla</italic> and grey diamonds represent <italic>C. obtusa</italic> individuals. For the Colombian sites we described 52 <italic>C. sciadophylla</italic> individuals at Leticia, while 28 were described at La Primavera. For the French Guiana sites, we described 20 <italic>C. sciadophylla</italic> and 137 <italic>C. obtusa</italic> individuals at Sparwine, 84 <italic>C. sciadophylla</italic> and 82 <italic>C. obtusa</italic> individuals at Counamama, and 18 <italic>C. sciadophylla</italic> and 68 <italic>C. obtusa</italic> individuals at Coralie (see the <xref ref-type="sec" rid="s2">methods</xref> section for a detailed study site description).</p>
        </caption>
        <graphic mimetype="image" orientation="portrait" position="float" xlink:href="info:doi/10.1371/journal.pone.0042643.g002" xlink:type="simple"/>
      </fig>
      <p>Based on the presence of 21 <italic>Cecropia</italic> species that show annual flowering <xref ref-type="bibr" rid="pone.0042643-Zalamea3">[15]</xref>, we generated a distribution map to highlight some of the potential <italic>Cecropia</italic> chronometers available across the Neotropics (<xref ref-type="fig" rid="pone-0042643-g003">Fig. 3</xref> and <xref ref-type="table" rid="pone-0042643-t001">Table 1</xref>).</p>
      <fig id="pone-0042643-g003" orientation="portrait" position="float">
        <object-id pub-id-type="doi">10.1371/journal.pone.0042643.g003</object-id>
        <label>Figure 3</label>
        <caption>
          <title>Geographic distributions of the annually flowering <italic>Cecropia</italic> species.</title>
          <p>The map illustrates the number of annually flowering <italic>Cecropia</italic> species identified by Zalamea et al. <xref ref-type="bibr" rid="pone.0042643-Zalamea3">[15]</xref>. The colors represent the number of species present in each hexagon of 4° side (see <xref ref-type="table" rid="pone-0042643-t001">Table 1</xref> for a list of species).</p>
        </caption>
        <graphic mimetype="image" orientation="portrait" position="float" xlink:href="info:doi/10.1371/journal.pone.0042643.g003" xlink:type="simple"/>
      </fig>
      <table-wrap id="pone-0042643-t001" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0042643.t001</object-id><label>Table 1</label><caption>
          <title>List of <italic>Cecropia</italic> annual flowering species that could be used to date perturbations in the Neotropics.</title>
        </caption><alternatives>
          <graphic id="pone-0042643-t001-1" mimetype="image" orientation="portrait" position="float" xlink:href="info:doi/10.1371/journal.pone.0042643.t001" xlink:type="simple"/>
          <table>
            <colgroup span="1">
              <col align="left" span="1"/>
              <col align="center" span="1"/>
              <col align="center" span="1"/>
              <col align="center" span="1"/>
              <col align="center" span="1"/>
            </colgroup>
            <thead>
              <tr>
                <td align="left" colspan="1" rowspan="1">Species</td>
                <td align="left" colspan="1" rowspan="1">Distribution</td>
                <td align="left" colspan="1" rowspan="1">Altitude (masl)</td>
                <td align="left" colspan="1" rowspan="1">Range</td>
                <td align="left" colspan="1" rowspan="1">Country presence<xref ref-type="table-fn" rid="nt102">*</xref></td>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td align="left" colspan="1" rowspan="1">
                  <italic>C. concolor</italic>
                </td>
                <td align="left" colspan="1" rowspan="1">Lower and central Amazon basin</td>
                <td align="left" colspan="1" rowspan="1">0–600</td>
                <td align="left" colspan="1" rowspan="1">Intermediate</td>
                <td align="left" colspan="1" rowspan="1">Bol, Bra, Per</td>
              </tr>
              <tr>
                <td align="left" colspan="1" rowspan="1">
                  <italic>C. distachya</italic>
                </td>
                <td align="left" colspan="1" rowspan="1">Throughout the Amazon basin</td>
                <td align="left" colspan="1" rowspan="1">0–600</td>
                <td align="left" colspan="1" rowspan="1">Wide</td>
                <td align="left" colspan="1" rowspan="1">Bol, Bra, Col, Ecu, Fgu, Per, Ven</td>
              </tr>
              <tr>
                <td align="left" colspan="1" rowspan="1">
                  <italic>C. engleriana</italic>
                </td>
                <td align="left" colspan="1" rowspan="1">Upper Amazon basin</td>
                <td align="left" colspan="1" rowspan="1">0–700</td>
                <td align="left" colspan="1" rowspan="1">Intermediate</td>
                <td align="left" colspan="1" rowspan="1">Bol, Bra, Col, Ecu, Per, Ven</td>
              </tr>
              <tr>
                <td align="left" colspan="1" rowspan="1">
                  <italic>C. insignis</italic>
                </td>
                <td align="left" colspan="1" rowspan="1">From Honduras to the Pacific coast of Ecuador</td>
                <td align="left" colspan="1" rowspan="1">0–1400</td>
                <td align="left" colspan="1" rowspan="1">Wide</td>
                <td align="left" colspan="1" rowspan="1">Col, Cos, Ecu, Hon, Nic, Pan</td>
              </tr>
              <tr>
                <td align="left" colspan="1" rowspan="1">
                  <italic>C. latiloba</italic>
                </td>
                <td align="left" colspan="1" rowspan="1">Guiana shield, Amazon and Orinoco basins</td>
                <td align="left" colspan="1" rowspan="1">0–400</td>
                <td align="left" colspan="1" rowspan="1">Wide</td>
                <td align="left" colspan="1" rowspan="1">Bra, Bol, Col, Ecu, Fgu, Guy, Per, Sur, Ven</td>
              </tr>
              <tr>
                <td align="left" colspan="1" rowspan="1">
                  <italic>C. longipes</italic>
                </td>
                <td align="left" colspan="1" rowspan="1">Eastern Panama and Northwestern Colombia</td>
                <td align="left" colspan="1" rowspan="1">0–300</td>
                <td align="left" colspan="1" rowspan="1">Local</td>
                <td align="left" colspan="1" rowspan="1">Col, Pan</td>
              </tr>
              <tr>
                <td align="left" colspan="1" rowspan="1">
                  <italic>C. montana</italic>
                </td>
                <td align="left" colspan="1" rowspan="1">Eastern slopes and foothills of the Andes</td>
                <td align="left" colspan="1" rowspan="1">400–1500</td>
                <td align="left" colspan="1" rowspan="1">Intermediate</td>
                <td align="left" colspan="1" rowspan="1">Col, Ecu, Per</td>
              </tr>
              <tr>
                <td align="left" colspan="1" rowspan="1">
                  <italic>C. mutisiana</italic>
                </td>
                <td align="left" colspan="1" rowspan="1">Upper Magdalena valley</td>
                <td align="left" colspan="1" rowspan="1">500–1800</td>
                <td align="left" colspan="1" rowspan="1">Local</td>
                <td align="left" colspan="1" rowspan="1">Col</td>
              </tr>
              <tr>
                <td align="left" colspan="1" rowspan="1">
                  <italic>C. obtusa</italic>
                </td>
                <td align="left" colspan="1" rowspan="1">Guiana shield and lower Amazon basin</td>
                <td align="left" colspan="1" rowspan="1">0–500</td>
                <td align="left" colspan="1" rowspan="1">Intermediate</td>
                <td align="left" colspan="1" rowspan="1">Bra, Fgu, Guy, Sur</td>
              </tr>
              <tr>
                <td align="left" colspan="1" rowspan="1">
                  <italic>C. obtusifolia</italic>
                </td>
                <td align="left" colspan="1" rowspan="1">From Mexico to the Pacific coast of Ecuador</td>
                <td align="left" colspan="1" rowspan="1">0–1650</td>
                <td align="left" colspan="1" rowspan="1">Wide</td>
                <td align="left" colspan="1" rowspan="1">Bel, Col, Cos, Ecu, Gua, Hon, Mex, Nic, Pan, Sal</td>
              </tr>
              <tr>
                <td align="left" colspan="1" rowspan="1">
                  <italic>C. pachystachya</italic>
                </td>
                <td align="left" colspan="1" rowspan="1">Southern fringes of the Amazon basin to Northern Argentina</td>
                <td align="left" colspan="1" rowspan="1">0–1200</td>
                <td align="left" colspan="1" rowspan="1">Wide</td>
                <td align="left" colspan="1" rowspan="1">Arg, Bra, Par</td>
              </tr>
              <tr>
                <td align="left" colspan="1" rowspan="1">
                  <italic>C. palmata</italic>
                </td>
                <td align="left" colspan="1" rowspan="1">Guiana shield, lower and central Amazon basin</td>
                <td align="left" colspan="1" rowspan="1">0–300</td>
                <td align="left" colspan="1" rowspan="1">Wide</td>
                <td align="left" colspan="1" rowspan="1">Bol, Bra, Fgu, Sur</td>
              </tr>
              <tr>
                <td align="left" colspan="1" rowspan="1">
                  <italic>C. pastasana</italic>
                </td>
                <td align="left" colspan="1" rowspan="1">From Colombia to Peru</td>
                <td align="left" colspan="1" rowspan="1">900–2300</td>
                <td align="left" colspan="1" rowspan="1">Intermediate</td>
                <td align="left" colspan="1" rowspan="1">Col, Ecu, Per</td>
              </tr>
              <tr>
                <td align="left" colspan="1" rowspan="1">
                  <italic>C. peltata</italic>
                </td>
                <td align="left" colspan="1" rowspan="1">From Mexico o Northern fringes of the Amazon basin</td>
                <td align="left" colspan="1" rowspan="1">0–2000</td>
                <td align="left" colspan="1" rowspan="1">Wide</td>
                <td align="left" colspan="1" rowspan="1">Bel, Bra, Col, Cos, Gua, Guy, Jam, Mex, Nic, Pan, Sur, Tri, Ven</td>
              </tr>
              <tr>
                <td align="left" colspan="1" rowspan="1">
                  <italic>C. polystachya</italic>
                </td>
                <td align="left" colspan="1" rowspan="1">From Peru to Bolivia</td>
                <td align="left" colspan="1" rowspan="1">0–1800</td>
                <td align="left" colspan="1" rowspan="1">Intermediate</td>
                <td align="left" colspan="1" rowspan="1">Bol, Bra, Per</td>
              </tr>
              <tr>
                <td align="left" colspan="1" rowspan="1">
                  <italic>C. purpurascens</italic>
                </td>
                <td align="left" colspan="1" rowspan="1">Central Amazon basin, near to Manaus</td>
                <td align="left" colspan="1" rowspan="1">0–300</td>
                <td align="left" colspan="1" rowspan="1">Local</td>
                <td align="left" colspan="1" rowspan="1">Bra</td>
              </tr>
              <tr>
                <td align="left" colspan="1" rowspan="1">
                  <italic>C. saxatilis</italic>
                </td>
                <td align="left" colspan="1" rowspan="1">Central Brazil to eastern Bolivia</td>
                <td align="left" colspan="1" rowspan="1">200–1400</td>
                <td align="left" colspan="1" rowspan="1">Intermediate</td>
                <td align="left" colspan="1" rowspan="1">Bol, Bra,</td>
              </tr>
              <tr>
                <td align="left" colspan="1" rowspan="1">
                  <italic>C. schreberiana</italic>
                </td>
                <td align="left" colspan="1" rowspan="1">Western Indies</td>
                <td align="left" colspan="1" rowspan="1">0–1100</td>
                <td align="left" colspan="1" rowspan="1">Wide</td>
                <td align="left" colspan="1" rowspan="1">Cro, Cub, Doi, Dom, Gud, Hai, Pue, Jam, Joh, Luc, Mar, Mon, Sab, Tor, Vin</td>
              </tr>
              <tr>
                <td align="left" colspan="1" rowspan="1">
                  <italic>C. sciadophylla</italic>
                </td>
                <td align="left" colspan="1" rowspan="1">Guiana shield, Amazon and Orinoco basins</td>
                <td align="left" colspan="1" rowspan="1">0–1300</td>
                <td align="left" colspan="1" rowspan="1">Wide</td>
                <td align="left" colspan="1" rowspan="1">Bol, Bra, Col, Ecu, Fgu, Guy, Per, Sur, Ven</td>
              </tr>
              <tr>
                <td align="left" colspan="1" rowspan="1">
                  <italic>C. strigosa</italic>
                </td>
                <td align="left" colspan="1" rowspan="1">From Northern Peru to Bolivia</td>
                <td align="left" colspan="1" rowspan="1">400–1900</td>
                <td align="left" colspan="1" rowspan="1">Intermediate</td>
                <td align="left" colspan="1" rowspan="1">Bol, Per</td>
              </tr>
              <tr>
                <td align="left" colspan="1" rowspan="1">
                  <italic>C. utcubambana</italic>
                </td>
                <td align="left" colspan="1" rowspan="1">Southern Ecuador to Southern Peru</td>
                <td align="left" colspan="1" rowspan="1">400–2200</td>
                <td align="left" colspan="1" rowspan="1">Intermediate</td>
                <td align="left" colspan="1" rowspan="1">Ecu, Per</td>
              </tr>
            </tbody>
          </table>
        </alternatives><table-wrap-foot>
          <fn id="nt101">
            <label/>
            <p>The list was taken from <xref ref-type="bibr" rid="pone.0042643-Zalamea3">[15]</xref>. For each species, the distribution, altitude, geographic range and country presences were taken from <xref ref-type="bibr" rid="pone.0042643-Berg1">[13]</xref> and personal observations.</p>
          </fn>
          <fn id="nt102">
            <label>*</label>
            <p>Arg = Argentina, Bar = Barbados, Bel = Belize, Ber = Bermuda, Bol = Bolivia, Bra = Brazil, Col = Colombia, Cos = Costa Rica, Cub = Cuba, Dom = Dominica, Ecu = Ecuador, Sal = El Salvador, Fgu = French Guiana, Gud = Guadeloupe, Gua = Guatemala, Guy = Guyana, Hai = Haiti, Hon = Honduras, Jam = Jamaica, Mar = Martinique, Mex = Mexico, Mon = Monserrat, Net = Netherland Antilles, Nic = Nicaragua, Pan = Panama, Par = Paraguay, Per = Peru, Pue = Puerto Rico, Doi = Dominican Republic, Sab = Saba, Cro = St. Croix, Joh = St. John, Luc = St. Lucia, Vin = St. Vincent, Sur = Suriname, Tor = Trotola, Tri = Trinidad, and Ven = Venezuela.</p>
          </fn>
        </table-wrap-foot></table-wrap>
    </sec>
    <sec id="s4">
      <title>Discussion</title>
      <p>The correlation coefficient of the relationship between <italic>Cecropia</italic> estimated age and disturbance real age was very close to one. Moreover, in a previous study Zalamea <xref ref-type="bibr" rid="pone.0042643-Zalamea2">[14]</xref> showed that the production of new nodes is extraordinarily stable throughout plant ontogeny and among populations of <italic>C. sciadophylla</italic>, both within and among years. This stability was also observed despite a high variation in annual precipitation and a wide geographic range among the study sites, suggesting a strong genetic control and a weak climatic or environmental influence on the observed periodicity. Together, both results show the high potential of the genus <italic>Cecropia</italic> as a proxy to estimate the age of secondary forests in the Neotropics.</p>
      <p>In the relationship between <italic>Cecropia</italic> estimated age and disturbance real age (<xref ref-type="fig" rid="pone-0042643-g002">Fig. 2</xref>), the intercept was negative and close to zero, suggesting a small lag in recruitment of <italic>Cecropia</italic> individuals after perturbation. In anthropogenic perturbations, such as slash-and-burn agriculture, mining exploitation, and road construction, soil is highly disturbed, and seed banks could be affected or eliminated. For example, fires lasting five hours, such as those commonly applied when clearing land for agriculture, are sufficient to eliminate the <italic>C. sciadophylla</italic> seed bank up to a depth of 15 cm (Zalamea &amp; Stevenson unpublished data). <italic>Cecropia</italic> is common on disturbed areas affected by fire and mining, indicating that recruits may come from seed rain rather than soil seed bank. Thus, the small lag in recruitment could be a response by timing of disturbance relative to seed rain, yet this lag is no longer than a year. In Barro Colorado Island, Panama, most <italic>C. insignis</italic> germination occurred in natural gaps within the first year after gap opening <xref ref-type="bibr" rid="pone.0042643-Brokaw1">[19]</xref>, and in central Amazonia, <italic>C. sciadophylla</italic> and <italic>C. purpurascens</italic> form even-aged stands in gaps resulting from different land uses <xref ref-type="bibr" rid="pone.0042643-Mesquita1">[20]</xref>, suggesting that <italic>Cecropia</italic> recruitment occurs in a single pulse, early in the regeneration process. Although several factors could delay recruitment, the intercept close to zero show that this delay in our database, is short in time, usually a few months.</p>
      <p>Our method is limited in applicability by the maximal longevity of <italic>Cecropia</italic> individuals. Assessing individual longevity in tropical trees is challenging <xref ref-type="bibr" rid="pone.0042643-Terborgh1">[21]</xref>–<xref ref-type="bibr" rid="pone.0042643-Laurance2">[24]</xref>, and in the case of <italic>Cecropia</italic> species, longevity data are scarce. In <italic>Cecropia</italic>, these estimations vary among 35 years for <italic>C. obtusifolia</italic> <xref ref-type="bibr" rid="pone.0042643-MartnezRamos1">[9]</xref>, 54 years for <italic>C. sciadophylla</italic> <xref ref-type="bibr" rid="pone.0042643-Korning1">[25]</xref> and 96 years for <italic>C. insignis</italic> <xref ref-type="bibr" rid="pone.0042643-Condit1">[26]</xref>. Although the oldest chronosequence used in this study was 20 years old, in a recent study we have dated a 34 years old <italic>C. sciadophylla</italic> individual in French Guiana <xref ref-type="bibr" rid="pone.0042643-Zalamea1">[12]</xref>. Thus, at least for the first four decades after disturbance, the method described in this study provides very accurate estimations of secondary forest ages.</p>
      <p>Although <italic>Cecropia</italic> is a widespread genus on the Neotropics, the method proposed here to estimate the age of disturbed areas could not be used yet for all the species of the genus. This is because we do not know how many nodes are produced per year for each <italic>Cecropia</italic> species. However, as flowering is one of the traits we used to estimate the age of <italic>Cecropia</italic> individuals in our previous studies <xref ref-type="bibr" rid="pone.0042643-Heuret1">[11]</xref>–<xref ref-type="bibr" rid="pone.0042643-Zalamea1">[12]</xref>, annual flowering periodicity suggests high potential for <italic>Cecropia</italic> species to become secondary forest chronometers, as it has been proposed for <italic>C. obtusa</italic> <xref ref-type="bibr" rid="pone.0042643-Heuret1">[11]</xref> and <italic>C. sciadophylla</italic> <xref ref-type="bibr" rid="pone.0042643-Zalamea1">[12]</xref>. The distribution map of the annually flowering <italic>Cecropia</italic> species (<xref ref-type="fig" rid="pone-0042643-g003">Fig. 3</xref>) implies that the <italic>Cecropia</italic> dating method could be used across a wide geographical range (i.e. all the Neotropics). Preliminary results showed an annual growth periodicity for <italic>C. angustifolia, C. ficifolia, C. insignis</italic> and <italic>C. distachya</italic> (P.C. Zalamea and P. Heuret, unpublished data). These results reinforce the idea that <italic>Cecropia</italic> could be used as a chronometer to estimate the time since forest disturbance. Although this study was based in anthropogenic disturbances, this methodology could also be used to date natural gaps. However, the dense canopy occurring in natural gaps compared to anthropogenic disturbances complicates the <italic>Cecropia</italic> age estimation using binoculars (i.e. it is difficult to count all nodes along the main axis). In such cases, an accurate estimation could be made using a destructive method.</p>
      <p>The age of pioneer trees not only provides information needed to calculate the recovery of carbon stocks that would help to improve forest management <xref ref-type="bibr" rid="pone.0042643-SanchezAzofeifa1">[8]</xref>, but also provides information needed to characterize the initial floristic composition and the rates of species remigration into secondary forest <xref ref-type="bibr" rid="pone.0042643-Norden1">[5]</xref>, <xref ref-type="bibr" rid="pone.0042643-Brienen1">[7]</xref>. In addition, this information could be useful to establish differences in substrate or soil fertility among successional stands and to model secondary forest population dynamics <xref ref-type="bibr" rid="pone.0042643-MartnezRamos1">[9]</xref>, <xref ref-type="bibr" rid="pone.0042643-Chambers1">[22]</xref>. In the current Neotropical scenario of forest fragmentation and degradation, little is known about the variability of responses from different primary forest to degradation effects <xref ref-type="bibr" rid="pone.0042643-Norden1">[5]</xref>, <xref ref-type="bibr" rid="pone.0042643-Lugo1">[27]</xref>. Thus, our contribution shows how successional studies can be reliably and inexpensively extended without the need to obtain forest ages based on remote sensing data or potentially inaccurate interview data across the Neotropics. In addition, growth-monitoring studies in secondary forests in the Neotropics are scarce and recent, suggesting that integrative approaches that use chronosequences and permanent plots can provide the valuable knowledge urgently needed in the current portfolio of tools for secondary forests management.</p>
    </sec>
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      <p>We thank F. Bompy, A. Oddi, J. Migeot, E. Bahamon, M. Peuch, T. Wiesinger, J.B. Gratecap, B. Larcher, P. Nlungu, L. Roux, and J. S. González for their assistance in the field. We are grateful to F. Munoz for enlightening discussions during data analyses and to C. Pedraza for his help in elaborating the map shown in <xref ref-type="fig" rid="pone-0042643-g003">Fig. 3</xref>. We thank J. Dalling, C.E.T. Paine, D. McKey, H. Beeckman, and J.P. Gómez for comments on an earlier version of this manuscript. We thank B. Bond-Lamberty and two anonymous reviewers. We also thank the <italic>Office National des Forêts</italic> in French Guiana and the local people at Leticia, La Primavera, and Sparwine who provided us the real disturbance ages from the studied sites.</p>
    </ack>
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